Daniela Gramaglia
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Virology top 5%
- HIV Research and Treatment
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- Fibroblast Growth Factor Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Cell death mechanisms and regulation 2
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- Liver physiology and pathology 7
- Co-authors
- Paolo M. Comoglio (10 shared papers)Andrea Graziani (3 shared papers)Lewis C. Cantley (1 shared paper)Alberto Bardelli (4 shared papers)Andrea Rasola (4 shared papers)Paola Longati (3 shared papers)Carla Boccaccio (2 shared papers)Maria Cristina Stella (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Oncogene (3 papers)Human Mutation (1 paper)The Journal of Immunology (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Daniela Gramaglia
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Hepatology 511
- Virology 112
- Molecular Biology 626
- Oncology 212
- Pathology and Forensic Medicine 138
Countries citing papers authored by Daniela Gramaglia
This map shows the geographic impact of Daniela Gramaglia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniela Gramaglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gramaglia more than expected).
Fields of papers citing papers by Daniela Gramaglia
This network shows the impact of papers produced by Daniela Gramaglia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniela Gramaglia. The network helps show where Daniela Gramaglia may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gramaglia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 223 | |
| 2 | 1993 | 171 | |
| 3 | 1997 | 118 | |
| 4 | 2006 | 95 | |
| 5 | 2001 | 86 | |
| 6 | 1998 | 85 | |
| 7 | 2010 | 58 | |
| 8 | 2005 | 56 | |
| 9 | 1999 | 56 | |
| 10 | 1996 | 51 | |
| 11 | 2004 | 40 | |
| 12 | 2004 | 32 |
About Daniela Gramaglia
Daniela Gramaglia is a scholar working on Molecular Biology, Hepatology, Virology, Oncology and Cancer Research, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), HIV Research and Treatment (2 papers), Fibroblast Growth Factor Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cell death mechanisms and regulation (2 papers), Drug Solubulity and Delivery Systems (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Hepatology (511 citations), Virology (112 citations), Molecular Biology (626 citations), Oncology (212 citations) and Pathology and Forensic Medicine (138 citations). Daniela Gramaglia has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo M. Comoglio, Andrea Graziani, Lewis C. Cantley, Alberto Bardelli, Andrea Rasola, Paola Longati, Carla Boccaccio, Maria Cristina Stella, Maria Flavia Di Renzo and Francesca De Bacco. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Human Mutation, The Journal of Immunology and International Journal of Pharmaceutics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.